Generating domain-specific web-based expert systems

Authors:
Neil Dunstan
Affiliations:
School of Mathematics, Statistics and Computer Science, University of New England, Elm Avenue, Armidale, New South Wales 2351, Australia
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

This paper describes a method to automatically generate web-based expert systems from XML descriptions of the knowledge domain. A domain-specific XML parser produces software modules for web-based information servers that feature dynamic expert system analysis. The case study is university course rules. An XML data definition file is developed featuring common rules and restrictions regarding courses. Web-based course information and enrollment guides can be automatically generated that dynamically execute a Prolog interpreter to provide expert advice.